Description: 遗传算法实例，是一个计划编排问题，适用于各类计划编排的优化问题。-GA example, is a programming issue, applicable to all types of programming optimization. Platform: |
Size: 4096 |
Author:魏童 |
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Description: matlab遗传算法实例,用于在matlab环境下遗传算法的实现.-Matlab GA example, for the Matlab environment genetic algorithm. Platform: |
Size: 5120 |
Author: |
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Description: http://gaul.sourceforge.net/
这里大部分人讨论的是在Matlab里实现GA的toolbox.以上为一个GA的C语言的软件包.如果你想利用GA做优化算法,非常有用.而且有很多example.方便起见,我把软件包附件. -http :// gaul.sourceforge.net/most of the people here are discussed in Matlab GA achieve the toolbox. More than a GA C language packages. If you want to give priority to the use of GA algorithm, very useful. and many example. the sake of convenience, I put the package annex. Platform: |
Size: 561152 |
Author:handman |
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Description: SVM的例子程序，使用RBF，garma值为0.5。专业人士可以参考。有搞SVM参数优化的人我们可以一起讨论-SVM example, the use of RBF, garma value of 0.5. Professional reference. SVM engage with the optimization of parameters we can discuss Platform: |
Size: 6144 |
Author:刘国亮 |
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Description: MATLAB遗传算法的经典程序,有例子,值得研究一下,应该有帮助.-MATLAB GA classic procedures, is an example worthy of study, should help. Platform: |
Size: 6144 |
Author:江河 |
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Description: ：Matlab遗传算法(GA)优4~-r-具箱是基于基本操作及终止条件、二进制和十进制相互转换等操作的综合
函数库。其实现步骤包括：通过输入及输出函数求出遗传算法主函数、初始种群的生成函数，采用选择、交叉、变异
操作求得基本遗传操作函数。以函数仿真为例，对该函数优化和GA改进，只需改写函数m文件形式即可。-: Matlab genetic algorithm (GA) U 4 ~-r-a box is based on the basic operation and termination conditions, binary and decimal conversion operation, such as a comprehensive function library. The realization of these steps include: input and output functions through the genetic algorithm to derive the main function, initial population generation function, the use of selection, crossover, mutation operation to achieve the basic function of genetic manipulation. Simulation in order to function as an example, the GA function optimization and improvement, just rewritten m the form of a document can function. Platform: |
Size: 117760 |
Author:icyrock |
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Description: 基本的遗传算法实现，并举了一个简单的例子，编程语言matlab-Basic genetic algorithm, both a simple example, programming language matlab Platform: |
Size: 6144 |
Author:liliane |
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Description: 广义回归神经网络是RBF的一个扩展。但是具体怎么实现却代码很少，本代码是一个grnn很好的学习例子。-Generalized regression neural network is an extension of RBF. But how to achieve specific code but rarely, the code is a good learning example grnn. Platform: |
Size: 1024 |
Author:王淑娟 |
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Description: ga的一个仿真例子程序，还不错，用起来效果比较好，需要自己根据项目情况写适应度函数-ga a simulation example of the procedure, but also good to use effect is better, the basis of project information required to write their own fitness function Platform: |
Size: 3072 |
Author:huangchao |
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Description: 这个一个遗传算法的实例，可以解决机器人轨迹规划的问题-This example of a genetic algorithm, can solve the problem of robot path planning Platform: |
Size: 40960 |
Author:kevin |
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Description: m file for a example of GA,using with matlab tool,wish it is useful for you-m file for a example of GA,using with matlab tool,wish it is useful for you!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Platform: |
Size: 2048 |
Author:mao |
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Description: 遗传算法工具箱用于一维二维寻优示例matlab程序(The genetic algorithm toolbox for one and two-dimensional optimization example program) Platform: |
Size: 2048 |
Author:辛萍
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Description: GA算法，matlab实例，适用性强，修改后就可以应用到自己的实例上面。(GA algorithm, matlab example, strong applicability, after modification can be applied to their own examples.) Platform: |
Size: 1024 |
Author:娇娇00 |
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Description: 基于matlab软件的Ga-bagging-svm程序，包含算例data，编写规范，非常好用(Ga-bagging-svm program based on MATLAB software, including example data, compiling specifications, very useful) Platform: |
Size: 839680 |
Author:wangzhifengchd |
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Description: Matlab 遗传算法(Genetic Algorithm)优化工具箱是基于基本操作及终止条件、二进制和十进制相互转换等操作的综合函数库。其实现步骤包括：通过输入及输出函数求出遗传算法主函数、初始种群的生成函数，采用选择、交叉、变异操作求得基本遗传操作函数。以函数仿真为例，对该函数优化和GA 改进，只需改写函数m 文件形式即可。(The Matlab Genetic Algorithm optimization toolbox is a comprehensive function library based on basic operations and termination conditions, binary and decimal conversion and other operations. The implementation steps include: the main function of genetic algorithm and the generation function of the initial population are obtained by the input and output functions, and the basic genetic operation function is obtained by the selection, crossover and mutation operations. Taking function simulation as an example, the function optimization and GA improvement only need to rewrite function m file form) Platform: |
Size: 9216 |
Author:FZenjoys |
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